<!DOCTYPE html>
<html>
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0,user-scalable=no,minimal-ui" />
  <title>echarts图表报表</title>
  <link rel="stylesheet" href="css/charts_demo.css">
  <script src="js/vuejs-2.5.16.js"></script>
  <script src="js/axios-0.18.0.js"></script>
  <script src="js/echarts.min.js"></script>
  <script src="js/macarons.js"></script>
  <!--导入地图的有关资源，百度地图要秘钥，自己申请-->
  <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts/dist/echarts.min.js"></script>
  <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts-gl/dist/echarts-gl.min.js"></script>
  <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts-stat/dist/ecStat.min.js"></script>
  <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts/dist/extension/dataTool.min.js"></script>
  <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts/map/js/china.js"></script>
  <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts/map/js/world.js"></script>
  <script type="text/javascript" src="https://api.map.baidu.com/api?v=2.0&ak=aVt2DPgH7YMtCY0nEMUrV9qHTGWlWbTM"></script>
  <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts/dist/extension/bmap.min.js"></script>

</head>
<body>
<div id="app" class="my-box">
  <div class="my-box-left">
    <button @click="columnCharts">统计各部门人数</button> <br/> <br/>
    <button @click="lineCharts">月份入职人数统计</button> <br/> <br/>
    <button @click="pieCharts">员工地方来源统计</button> <br/> <br/>
    <button @click="mapCharts">员工地方来源统计(地图)</button> <br/> <br/>
  </div>
  <div class="my-box-right">
    <div id="container" style="height:450px;"></div>
  </div>
</div>
</body>
<script>
  new Vue({
    el:"#app",
    data:{},
    methods: {
      columnCharts() {
        axios.get("/stat/columnCharts").then(res=>{
          //res.data = [{deptName:"财务部",num:11},{},{}]
          let titles = [];
          let values = [];
          for (let i = 0; i<res.data.length; i++) {
            titles[i] = res.data[i].deptName;
            values[i] = res.data[i].num;
          }
          //获取要添加的实例,并使用下载的主题样式
          var myChart = echarts.init(document.getElementById('container'),'macarons');
          //设置图形的属性和数据
          option = {
            xAxis: {
              type: 'category',
              data: titles
            },
            yAxis: {
              type: 'value'
            },
            series: [{
              data: values,
              type: 'bar',
              showBackground: true,
              backgroundStyle: {
                color: 'rgba(180, 180, 180, 0.2)'
              }
            }]
          };
          //解决多个图形叠加的数据产生相互的影响的效果
          myChart.clear();
          //为实例渲染图形
          myChart.setOption(option);
        })


      },

      lineCharts(){
        axios.get("/stat/lineCharts").then(res=>{
          //res.data = [{name:"01",num:2},{},{}]
          let titles = [];
          let values = [];
          for (let i = 0; i<res.data.length; i++) {
            titles[i] = res.data[i].name;
            values[i] = res.data[i].num;
          }
          //获取实例,并使用下载的主题样式
          var myChart = echarts.init(document.getElementById('container'),'macarons');
          option = {
            xAxis: {
              type: 'category',
              boundaryGap: false,
              data: titles
            },
            yAxis: {
              type: 'value'
            },
            series: [{
              data: values,
              type: 'line',
              areaStyle: {}
            }]
          };

          //解决多个图形叠加的数据产生相互的影响的效果
          myChart.clear();
          //为实例渲染图形
          myChart.setOption(option);
        })


      },

      pieCharts(){
        axios.get("/stat/pieECharts").then(res=>{
          let datas = res.data;
          // 需要三种数据：都可以从datas中获取
          //  1、省份数据 [{name:"河北省",value:10}]
          // 2、城市数据 [{name:"石家庄",value:3}]
          // 3、城市的名称
          let provinceData =  datas.province;
          let cityData = datas.city;
          let cityNames = [];
          for (let i = 0; i < cityData.length; i++) {
            cityNames[i] = cityData[i].name;
          }

          var myChart = echarts.init(document.getElementById('container'),'macarons');



          option = {
            tooltip: {
              trigger: 'item',
              formatter: '{a} <br/>{b}: {c} ({d}%)'
            },
            legend: {
              orient: 'vertical',
              left: 10,
              data: cityNames
            },
            series: [
              {
                name: '员工来源',
                type: 'pie',
                selectedMode: 'single',
                radius: [0, '30%'],
                label: {
                  position: 'inner',
                  fontSize: 14,
                },
                labelLine: {
                  show: false
                },
                data: provinceData
              },
              {
                name: '员工来源',
                type: 'pie',
                radius: ['45%', '60%'],
                labelLine: {
                  length: 30,
                },
                label: {
                  formatter: '{a|{a}}{abg|}\n{hr|}\n  {b|{b}：}{c}  {per|{d}%}  ',
                  backgroundColor: '#F6F8FC',
                  borderColor: '#8C8D8E',
                  borderWidth: 1,
                  borderRadius: 4,

                  rich: {
                    a: {
                      color: '#6E7079',
                      lineHeight: 22,
                      align: 'center'
                    },
                    hr: {
                      borderColor: '#8C8D8E',
                      width: '100%',
                      borderWidth: 1,
                      height: 0
                    },
                    b: {
                      color: '#4C5058',
                      fontSize: 14,
                      fontWeight: 'bold',
                      lineHeight: 33
                    },
                    per: {
                      color: '#fff',
                      backgroundColor: '#4C5058',
                      padding: [3, 4],
                      borderRadius: 4
                    }
                  }
                },
                data: cityData
              }
            ]
          };
          //解决多个图形叠加的数据产生相互的影响的效果
          myChart.clear();
          //为实例渲染图形
          myChart.setOption(option);


        })

      },
      mapCharts(){
        axios.get("/stat/pieECharts").then(res=>{
          var myChart = echarts.init(document.getElementById('container'),'macarons');

          var data = res.data.city;
          //将后端获得的城市名称中的市去除掉
          for (let i = 0; i < data.length; i++) {
            data[i].name = data[i].name.substring(0,data[i].name.length-1);
            //由于城市的值太小了，地图中的点不显示，以下操作数据的值，但不推荐，要使用下面方法中的符号来设置
            // data[i].value = data[i].value * 100;
          }

          var geoCoordMap = {
            '海门':[121.15,31.89],
            '鄂尔多斯':[109.781327,39.608266],
            '招远':[120.38,37.35],
            '舟山':[122.207216,29.985295],
            '齐齐哈尔':[123.97,47.33],
            '盐城':[120.13,33.38],
            '赤峰':[118.87,42.28],
            '青岛':[120.33,36.07],
            '乳山':[121.52,36.89],
            '金昌':[102.188043,38.520089],
            '泉州':[118.58,24.93],
            '莱西':[120.53,36.86],
            '日照':[119.46,35.42],
            '胶南':[119.97,35.88],
            '南通':[121.05,32.08],
            '拉萨':[91.11,29.97],
            '云浮':[112.02,22.93],
            '梅州':[116.1,24.55],
            '文登':[122.05,37.2],
            '上海':[121.48,31.22],
            '攀枝花':[101.718637,26.582347],
            '威海':[122.1,37.5],
            '承德':[117.93,40.97],
            '厦门':[118.1,24.46],
            '汕尾':[115.375279,22.786211],
            '潮州':[116.63,23.68],
            '丹东':[124.37,40.13],
            '太仓':[121.1,31.45],
            '曲靖':[103.79,25.51],
            '烟台':[121.39,37.52],
            '福州':[119.3,26.08],
            '瓦房店':[121.979603,39.627114],
            '即墨':[120.45,36.38],
            '抚顺':[123.97,41.97],
            '玉溪':[102.52,24.35],
            '张家口':[114.87,40.82],
            '阳泉':[113.57,37.85],
            '莱州':[119.942327,37.177017],
            '湖州':[120.1,30.86],
            '汕头':[116.69,23.39],
            '昆山':[120.95,31.39],
            '宁波':[121.56,29.86],
            '湛江':[110.359377,21.270708],
            '揭阳':[116.35,23.55],
            '荣成':[122.41,37.16],
            '连云港':[119.16,34.59],
            '葫芦岛':[120.836932,40.711052],
            '常熟':[120.74,31.64],
            '东莞':[113.75,23.04],
            '河源':[114.68,23.73],
            '淮安':[119.15,33.5],
            '泰州':[119.9,32.49],
            '南宁':[108.33,22.84],
            '营口':[122.18,40.65],
            '惠州':[114.4,23.09],
            '江阴':[120.26,31.91],
            '蓬莱':[120.75,37.8],
            '韶关':[113.62,24.84],
            '嘉峪关':[98.289152,39.77313],
            '广州':[113.23,23.16],
            '延安':[109.47,36.6],
            '太原':[112.53,37.87],
            '清远':[113.01,23.7],
            '中山':[113.38,22.52],
            '昆明':[102.73,25.04],
            '寿光':[118.73,36.86],
            '盘锦':[122.070714,41.119997],
            '长治':[113.08,36.18],
            '深圳':[114.07,22.62],
            '珠海':[113.52,22.3],
            '宿迁':[118.3,33.96],
            '咸阳':[108.72,34.36],
            '铜川':[109.11,35.09],
            '平度':[119.97,36.77],
            '佛山':[113.11,23.05],
            '海口':[110.35,20.02],
            '江门':[113.06,22.61],
            '章丘':[117.53,36.72],
            '肇庆':[112.44,23.05],
            '大连':[121.62,38.92],
            '临汾':[111.5,36.08],
            '吴江':[120.63,31.16],
            '石嘴山':[106.39,39.04],
            '沈阳':[123.38,41.8],
            '苏州':[120.62,31.32],
            '茂名':[110.88,21.68],
            '嘉兴':[120.76,30.77],
            '长春':[125.35,43.88],
            '胶州':[120.03336,36.264622],
            '银川':[106.27,38.47],
            '张家港':[120.555821,31.875428],
            '三门峡':[111.19,34.76],
            '锦州':[121.15,41.13],
            '南昌':[115.89,28.68],
            '柳州':[109.4,24.33],
            '三亚':[109.511909,18.252847],
            '自贡':[104.778442,29.33903],
            '吉林':[126.57,43.87],
            '阳江':[111.95,21.85],
            '泸州':[105.39,28.91],
            '西宁':[101.74,36.56],
            '宜宾':[104.56,29.77],
            '呼和浩特':[111.65,40.82],
            '成都':[104.06,30.67],
            '大同':[113.3,40.12],
            '镇江':[119.44,32.2],
            '桂林':[110.28,25.29],
            '张家界':[110.479191,29.117096],
            '宜兴':[119.82,31.36],
            '北海':[109.12,21.49],
            '西安':[108.95,34.27],
            '金坛':[119.56,31.74],
            '东营':[118.49,37.46],
            '牡丹江':[129.58,44.6],
            '遵义':[106.9,27.7],
            '绍兴':[120.58,30.01],
            '扬州':[119.42,32.39],
            '常州':[119.95,31.79],
            '潍坊':[119.1,36.62],
            '重庆':[106.54,29.59],
            '台州':[121.420757,28.656386],
            '南京':[118.78,32.04],
            '滨州':[118.03,37.36],
            '贵阳':[106.71,26.57],
            '无锡':[120.29,31.59],
            '本溪':[123.73,41.3],
            '克拉玛依':[84.77,45.59],
            '渭南':[109.5,34.52],
            '马鞍山':[118.48,31.56],
            '宝鸡':[107.15,34.38],
            '焦作':[113.21,35.24],
            '句容':[119.16,31.95],
            '北京':[116.46,39.92],
            '徐州':[117.2,34.26],
            '衡水':[115.72,37.72],
            '包头':[110,40.58],
            '绵阳':[104.73,31.48],
            '乌鲁木齐':[87.68,43.77],
            '枣庄':[117.57,34.86],
            '杭州':[120.19,30.26],
            '淄博':[118.05,36.78],
            '鞍山':[122.85,41.12],
            '溧阳':[119.48,31.43],
            '库尔勒':[86.06,41.68],
            '安阳':[114.35,36.1],
            '开封':[114.35,34.79],
            '济南':[117,36.65],
            '德阳':[104.37,31.13],
            '温州':[120.65,28.01],
            '九江':[115.97,29.71],
            '邯郸':[114.47,36.6],
            '临安':[119.72,30.23],
            '兰州':[103.73,36.03],
            '沧州':[116.83,38.33],
            '临沂':[118.35,35.05],
            '南充':[106.110698,30.837793],
            '天津':[117.2,39.13],
            '富阳':[119.95,30.07],
            '泰安':[117.13,36.18],
            '诸暨':[120.23,29.71],
            '郑州':[113.65,34.76],
            '哈尔滨':[126.63,45.75],
            '聊城':[115.97,36.45],
            '芜湖':[118.38,31.33],
            '唐山':[118.02,39.63],
            '平顶山':[113.29,33.75],
            '邢台':[114.48,37.05],
            '德州':[116.29,37.45],
            '济宁':[116.59,35.38],
            '荆州':[112.239741,30.335165],
            '宜昌':[111.3,30.7],
            '义乌':[120.06,29.32],
            '丽水':[119.92,28.45],
            '洛阳':[112.44,34.7],
            '秦皇岛':[119.57,39.95],
            '株洲':[113.16,27.83],
            '石家庄':[114.48,38.03],
            '莱芜':[117.67,36.19],
            '常德':[111.69,29.05],
            '保定':[115.48,38.85],
            '湘潭':[112.91,27.87],
            '金华':[119.64,29.12],
            '岳阳':[113.09,29.37],
            '长沙':[113,28.21],
            '衢州':[118.88,28.97],
            '廊坊':[116.7,39.53],
            '菏泽':[115.480656,35.23375],
            '合肥':[117.27,31.86],
            '武汉':[114.31,30.52],
            '大庆':[125.03,46.58]
          };

          var convertData = function (data) {
            var res = [];
            for (var i = 0; i < data.length; i++) {
              var geoCoord = geoCoordMap[data[i].name];
              if (geoCoord) {
                res.push({
                  name: data[i].name,
                  value: geoCoord.concat(data[i].value)
                });
              }
            }
            return res;
          };

          option = {
            backgroundColor: 'transparent',
            title: {
              text: '公司员工来源',
              left: 'center',
              textStyle: {
                color: '#fff'
              }
            },
            tooltip : {
              trigger: 'item'
            },
            bmap: {
              center: [104.114129, 37.550339],
              zoom: 5,
              roam: true,
              mapStyle: {
                styleJson: [
                  {
                    "featureType": "water",
                    "elementType": "all",
                    "stylers": {
                      "color": "#044161"
                    }
                  },
                  {
                    "featureType": "land",
                    "elementType": "all",
                    "stylers": {
                      "color": "#004981"
                    }
                  },
                  {
                    "featureType": "boundary",
                    "elementType": "geometry",
                    "stylers": {
                      "color": "#064f85"
                    }
                  },
                  {
                    "featureType": "railway",
                    "elementType": "all",
                    "stylers": {
                      "visibility": "off"
                    }
                  },
                  {
                    "featureType": "highway",
                    "elementType": "geometry",
                    "stylers": {
                      "color": "#004981"
                    }
                  },
                  {
                    "featureType": "highway",
                    "elementType": "geometry.fill",
                    "stylers": {
                      "color": "#005b96",
                      "lightness": 1
                    }
                  },
                  {
                    "featureType": "highway",
                    "elementType": "labels",
                    "stylers": {
                      "visibility": "off"
                    }
                  },
                  {
                    "featureType": "arterial",
                    "elementType": "geometry",
                    "stylers": {
                      "color": "#004981"
                    }
                  },
                  {
                    "featureType": "arterial",
                    "elementType": "geometry.fill",
                    "stylers": {
                      "color": "#00508b"
                    }
                  },
                  {
                    "featureType": "poi",
                    "elementType": "all",
                    "stylers": {
                      "visibility": "off"
                    }
                  },
                  {
                    "featureType": "green",
                    "elementType": "all",
                    "stylers": {
                      "color": "#056197",
                      "visibility": "off"
                    }
                  },
                  {
                    "featureType": "subway",
                    "elementType": "all",
                    "stylers": {
                      "visibility": "off"
                    }
                  },
                  {
                    "featureType": "manmade",
                    "elementType": "all",
                    "stylers": {
                      "visibility": "off"
                    }
                  },
                  {
                    "featureType": "local",
                    "elementType": "all",
                    "stylers": {
                      "visibility": "off"
                    }
                  },
                  {
                    "featureType": "arterial",
                    "elementType": "labels",
                    "stylers": {
                      "visibility": "off"
                    }
                  },
                  {
                    "featureType": "boundary",
                    "elementType": "geometry.fill",
                    "stylers": {
                      "color": "#029fd4"
                    }
                  },
                  {
                    "featureType": "building",
                    "elementType": "all",
                    "stylers": {
                      "color": "#1a5787"
                    }
                  },
                  {
                    "featureType": "label",
                    "elementType": "all",
                    "stylers": {
                      "visibility": "off"
                    }
                  }
                ]
              }
            },
            series : [
              {
                name: '人员',
                type: 'scatter',
                coordinateSystem: 'bmap',
                data: convertData(data),
                symbolSize: function (val) {
                  return val[2] * 10;//数据太小了，为了能显示 把符号扩大了10倍
                },
                label: {
                  formatter: '{b}',
                  position: 'right'
                },
                itemStyle: {
                  color: '#ddb926'
                },
                emphasis: {
                  label: {
                    show: true
                  }
                }
              },
              {
                name: 'Top 5',
                type: 'effectScatter',
                coordinateSystem: 'bmap',
                data: convertData(data.sort(function (a, b) {
                  return b.value - a.value;
                }).slice(0, 6)),
                symbolSize: function (val) {
                  return val[2] / 10;
                },
                showEffectOn: 'emphasis',
                rippleEffect: {
                  brushType: 'stroke'
                },
                hoverAnimation: true,
                label: {
                  formatter: '{b}',
                  position: 'right',
                  show: true
                },
                itemStyle: {
                  color: '#f4e925',
                  shadowBlur: 10,
                  shadowColor: '#333'
                },
                zlevel: 1
              },
              {
                type: 'custom',
                coordinateSystem: 'bmap',
                // renderItem: renderItem,
                itemStyle: {
                  opacity: 0.5
                },
                animation: false,
                silent: true,
                data: [0],
                z: -10
              }
            ]
          };
          // 使用刚指定的配置项和数据显示图表。
          myChart.clear();
          myChart.setOption(option);
        })

      }
    }
  });
</script>
</html>